首页|Studies from University of the Philippines Have Provided New Data on Chemical En gineering (Teaching classical machine learning as a graduate-level course in che mical engineering: An algorithmic approach)
Studies from University of the Philippines Have Provided New Data on Chemical En gineering (Teaching classical machine learning as a graduate-level course in che mical engineering: An algorithmic approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Investigators publish new report on chemical engi neering. According to news originating from Quezon City, Philippines, by NewsRx editors, the research stated, "The demand for engineering graduates with technic al skills in data science, machine learning (ML), and artificial intelligence (A I) is now growing." Financial supporters for this research include University of The Philippines Dil iman. Our news journalists obtained a quote from the research from University of the P hilippines: "Chemical engineering (ChemE) departments around the world are curre ntly addressing this skills gap by instituting AI or ML elective courses in thei r program. However, designing such a course is difficult since the issue of whic h ML models to teach and the depth of theory to be discussed remains unclear. In this paper, we present a graduate-level ML course particularly designed such th at students will be able to apply ML for research in ChemE. To achieve this, the course intends to cover a wide selection of ML models with emphasis on their mo tivations, derivations, and training algorithms, followed by their applications to ChemE-related data sets. We argue that this algorithmic approach to teaching ML can help broaden the capabilities of students since they can judge for themse lves which tool to use when, even for problems outside the process industries, o r they can modify the methods to test novel ideas. We found that students remain engaged in the mathematical details as long as every topic is properly motivate d and the gaps in the required statistical and computer science concepts are fil led."
University of the PhilippinesQuezon Ci tyPhilippinesAsiaAlgorithmsChemical EngineeringChemicalsCyborgsEme rging TechnologiesEngineeringMachine Learning
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